Random Forests In A Glassworks: Knowledge Discovery From Industrial Data
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2019, PT II(2020)
摘要
This paper presents the use of random forests for knowledge discovery from large data sets. The data was obtained from sensors of glassworks technological process monitoring system. Based on original and standardized data, several random forest models were created. Then they were used to establish a significance ranking of explanatory variables. The ranking presents information about explanatory variables that most affect the product defects.
更多查看译文
关键词
Random forests, Knowledge discovery, Decision trees
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要